WARP-Q: Quality Prediction For Generative Neural Speech Codecs

WARP-Q is a Python library designed for predicting the quality of generative neural speech codecs. It offers a robust framework to assess speech quality, providing access to pretrained models for immediate use and the flexibility to load custom models. The current version is 1.5.2, and the library maintains an active development status with notable API updates, including a significant overhaul at v1.0.0.